The Chemical Space Project

Cited by (715)

Items 401–500 of 715

1. MatterGPT: A Generative Transformer for Multi-Property Inverse Design of Solid-State Materials
   Lei Wang, Yan Chen, Xueru Wang, Xiaobin Deng, Yilun Liu, Xi Chen, Jun Zhang, Yunwei Zhang, Hang Xiao · 2025 · Research Square
2. A Novel Chemical-Space-Dependent Strategy for Compound Selection in Non-target LC-HRMS Method Development Using Physicochemical and Structural Data
   Lapo Renai, Viktoriia Turkina, Tobias Hulleman, Alexandros Nikolopoulos, Andrea Gargano, Elvio D. Amato, Massimo DEL BUBBA, Saer Samanipour · 2025 · Environmental Science & Technology Letters
3. Freedom Space 3.0: ML-Assisted Selection of Synthetically Accessible Small Molecules
   Anna Kapeliukha, Serhii Hlotov, Mykola Protopopov, Igor Dziuba, Maryna Vasylchuk, Dmitriy M. Panov, Olga O. Tarkhanova, Yurii S. Moroz · 2025 · Journal of Chemical Information and Modeling
4. Harnessing gem-Diboron Radicals: A Ni-Catalyzed Reductive Coupling Platform for Diverse sp3-Rich Molecular Architectures
   Zhenqi Wang, Yanjie Yang, Xing-Bang Liu, Siyu Wan, Pin Gao, Yuan Huang · 2025 · Organic Letters
5. VNFlow: integration of variational autoencoders and normalizing flows for novel molecular design
   Jiří Hostaš, Mohammad Sajjad Ghaemi, Hang Hu, Junan Lin, Anguang Hu, Hsu Kiang Ooi · 2025 · Journal of Cheminformatics
6. Count your bits: fingerprint benchmarking to assess broad chemical space representation
   Florian Huber, Julian Pollmann · 2026 · Journal of Cheminformatics
7. Identification of triazolyl KAT6 inhibitors via a templated fragment approach
   Chun Chen, Sarah B. Pawley, Joy M. Cote, Jack Carter, Min Wang, Chaoyi Xu, Andrew W. Buesking · 2024 · Bioorganic & Medicinal Chemistry Letters
8. Machine-learning-enhanced symbolic regression for methane storage prediction in covalent organic frameworks
   Alauddin Ahmed · 2024 · Physical Review Materials
9. eEtherification: An Electrochemical Strategy toward the Synthesis of Sterically Hindered Dialkyl Ethers from Activated Alcohols
   Cyrille Kiaku, Simon Kaltenberger, Daniel Raydan, Valerio Morlacci, Bini Claringbold, Iain C. A. Goodall, Laura Palombi, Darren L. Poole, Kevin Lam · 2024 · Organic Letters
10. Use of Extended-Hückel Descriptors for Rapid and Accurate Predictions of Conjugated Torsional Energy Barriers
    Wanlei Wei, Candide Champion, Stephen J. Barigye, Zhaomin Liu, Paul Labute, Nicolas Moitessier · 2020 · Journal of Chemical Information and Modeling
11. Biomolecular recognition of antagonists by α7 nicotinic acetylcholine receptor: Antagonistic mechanism and structure–activity relationships studies
    Wei Peng, Fei Ding · 2015 · European Journal of Pharmaceutical Sciences
12. Method for Systematic Analogue Search Using the Mega SAR Matrix Database
    Atsushi Yoshimori, Yuichi Horita, Toru Tanoue, Jürgen Bajorath · 2019 · Journal of Chemical Information and Modeling
13. One-pot parallel synthesis of 1,3,5-trisubstituted 1,2,4-triazoles
    Dmytro S. Radchenko, Vasyl Naumchyk, Igor Dziuba, Andrii A. Kyrylchuk, K.E. Gubina, Yurii S. Moroz, Oleksandr O. Grygorenko · 2021 · Molecular Diversity
14. ChemMaps.com v2.0: exploring the environmental chemical universe
    Alexandre Borrel, Mike Conway, Sue Nolte, Aswani Unnikrishnan, Charles Schmitt, Nicole Kleinstreuer · 2023 · Nucleic Acids Research
15. The maximum occupancy condition for the localized property-optimized orbitals
    Tymofii Yu. Nikolaienko · 2019 · Physical Chemistry Chemical Physics
16. Orion®A Cloud‐Native Molecular Design Platform
    Jesper Sørensen, Caitlin C. Bannan, Gaetano Calabrò, Varsha Jain, Grigory Ovanesyan, Addison Smith, She Zhang, Christopher I. Bayly, Tom Darden, Matthew T. Geballe et al. · 2024 · Wiley eBooks
17. Rapid discovery of novel materials by coordinate-free coarse graining
    Rhys E. A. Goodall, Abhijith S. Parackal, Felix A. Faber, Rickard Armiento, Alpha A. Lee · 2022 · Zenodo (CERN European Organization for Nuclear Research)
18. Structural Complexity Growth as a Fundamental Law of Nature. Multilevel Increase in Complexity, Frozen Accidents, and Transitory Forms in Macroevolution
    Andrei P. Kozlov · 2024 · Paleontological Journal
19. New chemicals fuel the evolution of microbial biodegradation
    Lawrence P. Wackett · 2025 · Microbiology and Molecular Biology Reviews
20. VeGA-RX and VeGA-SCX: Controllable SMARTS-Guided Generative Transformers for Precision-Driven De Novo Drug Design
    Pietro Delre, Giada Bellofatto, Antonio Lavecchia · 2026 · Journal of Chemical Information and Modeling
21. On drug discovery against infectious diseases and academic medicinal chemistry contributions
    Yves Louis Janin · 2022 · Beilstein Journal of Organic Chemistry
22. Autonomous Drug Design with Multi-Armed Bandits
    Hampus Gummesson Svensson, Esben Jannik Bjerrum, Christian Tyrchan, Ola Engkvist, Morteza Haghir Chehreghani · 2022 · IEEE International Conference on Big Data (BigData)
23. Streamlining Catalysis Screenings on a Budget
    Pascal Czember, Florian Weber, Agon Kokollari, Hubert Spreitzer, Nico Fleck · 2024 · Organic Process Research & Development
24. Hydroxylamin‐abgeleitetes Reagenz als duales Oxidationsmittel und Aminogruppendonor für die eisenkatalysierte Herstellung von ungeschützten Sulfinamiden aus Thiolen
    Sayanti Chatterjee, Szabolcs Makai, Bill Morandi · 2020 · Angewandte Chemie
25. FSees: Customized Enumeration of Chemical Subspaces with Limited Main Memory Consumption
    Florian Lauck, Matthias Rarey · 2016 · Journal of Chemical Information and Modeling
26. Can artificial intelligency revolutionize drug discovery?
    Jean‐Louis Kraus · 2019 · AI & Society
27. Proposal of the Annotation of Phosphorylated Amino Acids and Peptides Using Biological and Chemical Codes
    Piotr Mińkiewicz, Małgorzata Darewicz, Anna Iwaniak, Marta Turło · 2021 · Molecules
28. A Novel Method for Inferring Chemical Compounds With Prescribed Topological Substructures Based on Integer Programming
    Jianshen Zhu, Naveed Ahmed Azam, Fan Zhang, Aleksandar Shurbevski, Kazuya Haraguchi, Liang Zhao, Hiroshi Nagamochi, Tatsuya Akutsu · 2021 · IEEE Transactions on Computational Biology and Bioinformatics
29. Diastereoselective access to substituted 4-aminopiperidines via a pyridine reduction approach
    Rebecca A. Murphy, Anthony Chen, Sajiv K. Nair, Gary M. Gallego, Neal W. Sach, Graham S. T. Smith · 2016 · Tetrahedron Letters
30. Individual and collective human intelligence in drug design: evaluating the search strategy
    Giovanni Cincilla, Simone Masoni, Jascha Blobel · 2021 · Journal of Cheminformatics
31. Fragment‐Based Ligand Discovery
    Ben J. Davis, Roderick E. Hubbard · 2020 · Wiley eBooks
32. ChemProp multi-task models for predicting ADME properties in the Polaris challenge
    Kenneth Goossens, Giovanni A. Tricarico, Johan Hofmans, Marie-Pierre Dréanic, Stéphane De Cesco, Eelke Bart Lenselink · 2025 · ChemRxiv
33. SynTwins: a retrosynthesis-guided framework for synthesizable molecular analog generation
    Shuan Chen, Gunwook Nam, Alán Aspuru‐Guzik, Yousung Jung · 2025 · Chemical Science
34. Weighting Low-Intensity MS/MS Ions and m/z Frequency for Spectral Library Annotation
    Chloe Engler Hart, Tobias Kind, Pieter C. Dorrestein, David Healey, Daniel Domingo‐Fernándéz · 2024 · Journal of the American Society for Mass Spectrometry
35. Triply Selective & Sequential Diversification at C sp 3 : Expansion of Alkyl Germane Reactivity for C−C & C−Heteroatom Bond Formation
    Eric Ahrweiler, Markus D. Schoetz, Gurdeep Singh, Quentin P. Bindschaedler, Alba Sorroche, Franziska Schoenebeck · 2024 · Angewandte Chemie
36. Synthesis of Complex Tetracyclic Fused Scaffolds Enabled by (3 + 2) Cycloaddition
    Vincent Porte, Branca C. van Veen, Haoqi Zhang, Paolo Piacentini, Sergio Armentia Matheu, Sophie Woolford, Kevin Rafael Sokol, Saad Shaaban, Harald Weinstabl, Nuno Maulide · 2024 · Organic Letters
37. To homeostasis and beyond! Recent advances in the medicinal chemistry of heterobifunctional derivatives
    Diana Castagna, Benoit Gourdet, Roland Hjerpe, Philip MacFaul, Andrew Novak, Guillaume Révol, Étienne Rochette, Allan Michael Jordan · 2024 · Progress in medicinal chemistry
38. Organic Chemistry and Synthesis Rely More and More upon Catalysts
    Pierre Vogel, Kendall N. Houk · 2022 · Catalysts
39. PRACTICAL APPLICATIONS OF MACHINE LEARNING FOR ANTI-INFECTIVE DRUG DISCOVERY
    Nishant Sarkar, Jonathan M. Stokes · 2023 · Medicinal chemistry reviews
40. Ab Initio Accuracy Neural Network Potential for Drug-Like Molecules
    Manyi Yang, Duo Zhang, Xinyan Wang, Bowen Li, Linfeng Zhang, E Weinan, Tong Zhu, Han Wang · 2025 · Research
41. Data-Driven Systems Level Approaches for Drug Repurposing: Combating Drug Resistance in Priority Pathogens
    Anurag Passi, Bani Jolly, Tina Sharma, Ashma Pandya, Anshu Bhardwaj · 2019 · Elsevier eBooks
42. Application of Symmetry Functions to Large Chemical Spaces Using a Convolutional Neural Network
    Balaranjan Selvaratnam, Ranjit T. Koodali, Pere Miró · 2020 · Journal of Chemical Information and Modeling
43. The Power of High-Throughput Experimentation: Case Studies from Drug Discovery, Drug Development, and Catalyst Discovery (Volume 2)
    Marion H. Emmert1, Matthieu Jouffroy, David C. Leitch3 · 2022 · ACS symposium series
44. Staying Ahead of the Game: How SARS-CoV-2 has Accelerated the Application of Machine Learning in Pandemic Management
    Alexander H. Williams, Chang‐Guo Zhan · 2023 · BioDrugs
45. TwoFold: Highly accurate structure and affinity prediction for protein-ligand complexes from sequences
    Darren Jason Hsu, Hao Lu, Aditya Kashi, Michael A. Matheson, John P. Gounley, Feiyi Wang, Wayne D. Joubert, Jens Gläser · 2023 · The International Journal of High Performance Computing Applications
46. Acceleration of Inverse Molecular Design by Using Predictive Techniques
    Jos L. Teunissen, Frank De Proft, Freija De Vleeschouwer · 2019 · Journal of Chemical Information and Modeling
47. Exploring chemical space with alchemical derivatives
    Robert Balawender, Paul Geerlings · 2023 · Elsevier eBooks
48. Quo vadis G protein-coupled receptor ligands? A tool for analysis of the emergence of new groups of compounds over time
    Damian Leśniak, Stanisław Jastrzȩbski, Sabina Podlewska, Wojciech Marian Czarnecki, Andrzej Jacek Bojarski · 2016 · Bioorganic & Medicinal Chemistry Letters
49. Accelerated Discovery of Optoelectronic Materials
    Andrew K. Johnston, Edward Hartley Sargent · 2021 · ACS Photonics
50. Machine Learning-Guided Equations for Super-Fast Prediction of Methane Storage Capacities of COFs
    Alauddin Ahmed · 2020 · ChemRxiv
51. Reply to Comment on ‘Physics-based representations for machine learning properties of chemical reactions’
    Puck van Gerwen, Matthew D. Wodrich, Rubén Laplaza, Clémence Corminbœuf · 2023 · Machine Learning Science and Technology
52. Predicting novel targets with Bayesian machine learning by integrating multiple biological signatures
    Wei, Xiao, Zhu, Tingfei, Yip, Hiu Fung, Fu, Xiangzheng, Jiang, Dejun, Deng, Youchao, Lu, Aiping, Cao, Dongsheng · 2024 · Chemical Science
53. Generative Screening of Multi‐Resonance Molecules for Narrowband Pure Violet OLEDs
    Zijian Chen, Wenyan Zhao, Xiaofeng Gong, Shenglin Zong, Jiuyan Li, Pengzhong Chen, Wen Ce Sun, Jianjun Du, Jiangli Fan, Xiaojun Peng · 2025 · Advanced Functional Materials
54. A Hardware-Feasible Quantum Machine Learning Framework for Structure-Based Virtual Screening
    Pei‐Kun Yang · 2026 · Journal of Chemical Theory and Computation
55. Generative Electrolyte Solvent and Formulation Discovery
    Jaemin Kim, Ke-Hsin Wang, Dr. Ritesh Kumar, Peiyuan Ma, Chibueze V. Amanchukwu · 2026 · JACS Au
56. Recent progress in the construction of sp3-rich compound libraries with natural product-like properties
    Fumika Karaki, Hideaki Fujii · 2024 · Studies in natural products chemistry
57. MAYA (Multiple ActivitY Analyzer): An Open Access Tool to Explore Structure‐Multiple Activity Relationships in the Chemical Universe
    J. Israel Espinoza‐Castañeda, José L. Medina‐Franco · 2025 · Molecular Informatics
58. SF-Rx: A Multioutput Deep Neural Network-Based Framework Predicting Drug–Drug Interaction under Realistic Conditions for Safe Prescription
    Daeun Kim, Jaehong Yu, Sang-Hun Bae, Ji‐Hyun Lee · 2025 · Journal of Chemical Information and Modeling
59. Fairer benchmark of group contribution and machine learning models for property prediction: A new data splitting strategy
    Adem R.N. Aouichaoui, Jingkang Liang, Jens Abildskov, Gürkan Sin · 2025 · Computers & Chemical Engineering
60. Chemistries Moonshot: An Entirely Recyclable Car
    Robin M. Schoemaker, Chunning Sun, Davide Chiarugi, Theodore Tyrikos‐Ergas, Peter H. Seeberger · 2025 · ACS Central Science
61. Hypergraph-based models of random chemical reaction networks: Conservation laws, connectivity, and percolation
    Shesha Gopal Marehalli Srinivas, Massimiliano Esposito, Nahuel Freitas · 2025 · The Journal of Chemical Physics
62. Target discovery and drug design in the era of artificial intelligence
    Payton Fleming, Andrey A. Ivanov · 2026 · Medicinal Chemistry Research
63. Sampling a trillion-sized GDB-20 database of drug-like molecules by generative artificial intelligence
    Ye Buehler, Sacha Javor, Jean‐Louis Reymond · 2026 · Digital Discovery
64. Role of the Backbone when Optimizing Functional Groups─A Theoretical Study Based on an Improved Inverse-Design Approach
    Chencheng Fan, Mohammad Molayem, Michael Springborg, Moritz Kick, Yaqing Feng · 2022 · The Journal of Physical Chemistry A
65. Flexible Topology: A Dynamic Model of a Continuous Chemical Space
    Nazanin Donyapour, Fatemeh Fathi Niazi, Nicole M. Roussey, Samik Bose, Alex Dickson · 2023 · Journal of Chemical Theory and Computation
66. Synthesis of Diazacyclic and Triazacyclic Small-Molecule Libraries Using Vicinal Chiral Diamines Generated from Modified Short Peptides and Their Application for Drug Discovery
    Mukund P. Tantak, Ramanjaneyulu Rayala, Prakash Chaudhari, Chhanda Charan Danta, Adel Nefzi · 2024 · Pharmaceuticals
67. A Guided Variational Autoencoder for Targeted Molecule Optimization in Drug Discovery
    Da Tan, Christopher James Henry, Carson Kai-Sang Leung · 2025 · Journal of Healthcare Informatics Research
68. Faster Algorithms for Isomer Network Generation
    Dheivya Thiagarajan, Dinesh P. Mehta · 2016 · Journal of Chemical Information and Modeling
69. High-Throughput Experimentation for Medicinal Chemistry: State of the Art, Challenges, and Opportunities
    Dipannita Kalyani, Mycah R. Uehling, Michael Wleklinski · 2022 · ACS symposium series
70. Molecular Property Diagnostic Suite Compound Library (MPDS-CL): a structure-based classification of the chemical space
    Lijo John, Selvaraman Nagamani, Hridoy Jyoti Mahanta, S. Vaikundamani, Nandan Kumar, Asheesh Kumar, Esther Jamir, Lipsa Priyadarsinee, Garikapati Narahari Sastry · 2023 · Molecular Diversity
71. Going Small: Using Biophysical Screening to Implement Fragment Based Drug Discovery
    John J. Bowling, William R. Shadrick, Elizabeth C. Griffith, Richard E. Lee Jr. · 2016 · InTech eBooks
72. De novo functional groups designed to enhance neuronal integrin α5β1 binding using deep reinforcement learning
    Isuru S. Herath, Jingjie Yeo · 2022 · MRS Bulletin
73. Artificial Intelligence for Scientific Discovery at High-Performance Computing Scales
    Kin Long Kelvin Lee, Nalini Kumar · 2023 · Computer
74. Polypharmacology in Drug Discovery
    Oscar Méndez‐Lucio, J. Jesús Naveja, Hugo Vite‐Caritino, Fernando Daniel Prieto-Martínez, José L. Medina‐Franco · 2017 · Methods and principles in medicinal chemistry
75. Bioinspiration from Marine Scaffolds
    Stephan Böttcher, Angela Di Capua, John W. Blunt, Ronald J. Quinn · 2018 · Blue Biotechnology
76. Into the latent space
    2020 · Nature Machine Intelligence
77. Modular Open-access and Open-source julia language Toolbox for Processing of HRMS Data: jHRMSToolBox
    Denice van Herwerden, Etienne Kant, Miranda E. Jackson, Chloe L. Fender, Manuel García‐Jaramillo, Jake William O'Brien, Kevin Victor Thomas, Saer Samanipour · 2024 · ChemRxiv
78. MorphoDiff: Cellular Morphology Painting with Diffusion Models
    Zeinab Navidi, Jun Ma, Esteban Alberto Miglietta, Le Liu, Anne Elizabeth Carpenter, Beth A. Cimini, Benjamin Haibe‐Kains, Bo Wang · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
79. Transitive prediction of small-molecule function through alignment of high-content screening resources
    Feng Bao, Li Li, Heinz Hammerlindl, Susan Q. Shen, Sabrina Hammerlindl, Steven J. Altschuler, Lani F. Wu · 2025 · Nature Biotechnology
80. Fused 3D boron heterocycles via EnT catalysis: synthesis, modification and validation as beta-lactamase inhibitors
    Hannah M. Kortman, Hao Fang, Kane A. C. Bastick, Charlotte Völkel, D. Oberthüer, Peter H. Seeberger, Markus Perbandt, John J. Molloy · 2025 · Chemical Science
81. Activity landscape modeling of InhA inhibitors: Characterizing potency variations through structural similarity
    V.K. Jalala, Karuvanthodi Muraleedharan · 2026 · Next research.
82. The evolving landscape of synthesis enabled by gem‑diboryl radicals
    Zhen-Qi Wang, Zhuo Zhang, Si-Yu Wan, Yuan Huang · 2026 · Chinese Chemical Letters
83. High-throughput screening assays for novel antibacterial identification: current advances and future prospects
    Holly E. E. Floyd, Michelle Novais de Paula, Tanuka Sen, Angela M. Kavanagh, Johannes Zuegg, Mark A. T. Blaskovich · 2026 · Expert Opinion on Drug Discovery
84. Machine Learning for RNA-Targeting Drug Design
    Wissam Karroucha, Carlos Oliver, Véronique Stoven, Vincent Mallet · 2026 · Journal of Chemical Information and Modeling
85. AI for Accelerated Materials Discovery: From Generative Design to Autonomous Realization
    Jiwoo Choi, Seongmin Kim, Junkil Park, Junyoung Choi, Sunggi An, Yousung Jung · 2026 · Chemical Reviews
86. Machine Learning-Guided Scope Selection to Balance Performance and Substrate Similarity
    Sven Roediger, Matthew S. Sigman, Abigail G. Doyle · 2026 · Journal of the American Chemical Society
87. A new approach to the design of acyclic chemical compounds using skeleton trees and integer linear programming
    Fan Zhang, Jianshen Zhu, Rachaya Chiewvanichakorn, Aleksandar Shurbevski, Hiroshi Nagamochi, Tatsuya Akutsu · 2022 · Applied Intelligence
88. Energy Transfer (EnT) Catalysis of Non‐Symmetrical Borylated Dienes: Origin of Reaction Selectivity in Competing EnT Processes
    Hao Fang, Alejandro García‐Eguizábal, Yu Jen Hsueh, Constantin Gabriel Daniliuc, Ignacio Funes‐Ardoiz, John J. Molloy · 2024 · Angewandte Chemie
89. Advances in physiological and clinical relevance of hiPSC-derived brain models for precision medicine pipelines
    Negin Imani Farahani, Lisa D. Lin, Shama Nazir, Alireza Naderi, Leanne Rokos, Anthony Randal McIntosh, Lisa M. Julian · 2025 · Frontiers in Cellular Neuroscience
90. Statistics and Bias-Free Sampling of Reaction Mechanisms from Reaction Network Models
    Dmitrij Rappoport · 2023 · The Journal of Physical Chemistry A
91. Origins of Regio- and Enantiocontrol in Rhodium-Catalyzed Synthesis of Alkylidene Dihydrothiophenes from 1,2,3-Thiadiazoles and Allenes
    Cunzhi Chen, Hongguang Du, Jiaxi Xu, Zhanhui Yang · 2025 · The Journal of Organic Chemistry
92. A cheminformatic study on chemical space characterization and diversity analysis of 5-LOX inhibitors
    T.K. Shameera Ahamed, Karuvanthodi Muraleedharan · 2020 · Journal of Molecular Graphics and Modelling
93. Chemistry 4.0: How the Digital Revolution is Changing Chemical Research
    Marco Stenta · 2021 · CHIMIA International Journal for Chemistry
94. Heuristics and Uncertainty Quantification in Rational and Inverse Compound and Catalyst Design
    Thomas Weymuth, Markus Reiher · 2022 · Elsevier eBooks
95. Deep generative fuel design in low data regimes via multi-objective imitation
    Yifan Liu, Runze Liu, Jinyu Duan, Li Wang, Xiangwen Zhang, Guozhu Li · 2023 · Chemical Engineering Science
96. Intelligent Molecular Identification Approach to High-Efficiency Solvents for Organosulfide Capture Using the Active Machine Learning Framework
    Yuxiang Chen, Chuanlei Liu, Yang An, Yue Lou, Yang Sheng Zhao, Qian Cheng, Hao Jiang, Kongguo Wu, Benxian Shen, Xianghui Zhang et al. · 2023 · Energy & Fuels
97. Systematic design of analogs of active compounds covering more than 1000 targets
    Dilyana Dimova, Jürgen Bajorath · 2016 · MedChemComm
98. Enantiopure hydroxymethylated cycloalkenols as privileged small molecular multifunctional scaffolds for the asymmetric synthesis of carbocycles
    Rajan Kumar, Rohan Kalyan Rej, Joydev Halder, Haridas Mandal, Samik Nanda · 2016 · Tetrahedron Asymmetry
99. Fast & easy preparation of 3D scaffolds from methyl benzoate by a diversity oriented synthesis strategy based on Diels–Alder and ene-reactions
    Dominique Brossard, Pascal Retailleau, Vincent Dumontet, Philippe Breton, Sandy Desrat, Fanny Roussi · 2017 · Organic & Biomolecular Chemistry
100. Virtual Libraries for Docking Methods: Guidelines for the Selection and the Preparation
     Asma Sellami, Manon F. Réau, Florent Langenfeld, Nathalie Lagarde, Matthieu Montès · 2021 · Elsevier eBooks