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Cecilia Clementi

arnimallee 12

55H指数
180论文数
1.0W被引数
收录论文 80
发表时间
Dynamic states of an MHC class I molecule during peptide exchangeMHC I类分子在肽交换过程中的动态状态
err2026-09-10
err0
errOAAI
errAlexandra Mitlehner; Aldo S. Pasos-Trejo; Moritz Becker; Huan Lan; Lennard Berg; Tarek Hilal; Bernhard Loll; Benno Kuropka; Cecilia Clementi; Christian Freund
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Extending the range of graph neural networks with global encodings通过全局编码扩展图神经网络的范围
err2026-02-18
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errAlessandro Caruso; Jacopo Venturin; Lorenzo Giambagli; Edoardo Rolando; Zakariya El-Machachi; Frank Noé; Cecilia Clementi
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Breaking the Barriers of Molecular Dynamics With Deep-Learning: Opportunities, Pitfalls, and How to Navigate Them用深度学习打破分子动力学的障碍: 机会、陷阱以及如何驾驭它们
err2026-01-23
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errKlara Bonneau; Aldo S. Pasos-Trejo; Michael Plainer; Luca Sagresti; Jacopo Venturin; Iryna Zaporozhets; Alessandro Caruso; Edoardo Rolando; Andrea Guljas; Leon Klein; Maximilian Schebek; Filippo Albani; Raquel López-Ríos de Castro; Zakariya El Machachi; Lorenzo Giambagli; Cecilia Clementi
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Cut or bind? Antigen-specific processing mechanisms define CD4+ T cell immunodominant epitopes for SARS-CoV-2 S and N proteins切割还是结合?抗原特异性处理机制定义了SARS-CoV-2 S和N蛋白的CD4+ T细胞免疫优势表位
err2025-11-26
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errMiguel Álvaro-Benito; Esam T. Abualrous; Holger Lingel; Stefan Meltendorf; Jakob Holzapfel; Paula de Diego Valera; Jana Sticht; Benno Kuropka; Cecilia Clementi; Frank Kuppler; Monika C. Brunner-Weinzierl; Christian Freund
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Peering inside the black box by learning the relevance of many-body functions in neural network potentials通过学习多体函数的相关性来窥视神经网络势函数的“黑箱”
err2025-11-10
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errOAAI
errKlara Bonneau; Jonas Lederer; Clark Templeton; David Rosenberger; Lorenzo Giambagli; Klaus-Robert Müller; Cecilia Clementi
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Navigating protein landscapes with a machine-learned transferable coarse-grained model使用机器学习的可转移粗粒度模型导航蛋白质景观
err2025-07-18
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errOAAI
errNicholas E. Charron; Klara Bonneau; Aldo S. Pasos-Trejo; Andrea Guljas; Yaoyi Chen; Félix Musil; Jacopo Venturin; Daria Gusew; Iryna Zaporozhets; Andreas Krämer; Clark Templeton; Atharva Kelkar; Aleksander E. P. Durumeric; Simon Olsson; Adrià Pérez; Maciej Majewski; Brooke E. Husic; Ankit Patel; Gianni De Fabritiis; Frank Noé; Cecilia Clementi
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Scalable emulation of protein equilibrium ensembles with generative deep learning使用生成式深度学习对蛋白质平衡态集合的可扩展模拟
errScience
IF45.8
err2025-07-10
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PREAI
errSarah Lewis; Tim Hempel; José Jiménez-Luna; Michael Gastegger; Yu Xie; Andrew Y. K. Foong; Victor García Satorras; Osama Abdin; Bastiaan S. Veeling; Iryna Zaporozhets; Yaoyi Chen; Soojung Yang; Adam E. Foster; Arne Schneuing; Jigyasa Nigam; Federico Barbero; Vincent Stimper; Andrew Campbell; Jason Yim; Marten Lienen; Yu Shi; Shuxin Zheng; Hannes Schulz; Usman Munir; Roberto Sordillo; Ryota Tomioka; Cecilia Clementi; Frank Noé
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Accurate nuclear quantum statistics on machine-learned classical effective potentials
err2024-10-01
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errZaporozhets, Iryna; Musil, Felix; Kapil, Venkat; Clementi, Cecilia
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Machine learning coarse-grained potentials of protein thermodynamics
err2023-09-15
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errMajewski, Maciej; Perez, Adria; Tholke, Philipp; Doerr, Stefan; Charron, Nicholas E.; Giorgino, Toni; Husic, Brooke E.; Clementi, Cecilia; Noe, Frank; De Fabritiis, Gianni
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Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics
err2023-09-09
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errArts, Marloes; Satorras, Victor Garcia; Huang, Chin-Wei; Zuegner, Daniel; Federici, Marco; Clementi, Cecilia; Noe, Frank; Pinsler, Robert; van den Berg, Rianne
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EnGens: a computational framework for generation and analysis of representative protein conformational ensemblesEnGens: 用于生成和分析代表性蛋白质构象集合的计算框架
err2023-07-07
err8
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errConev, Anja; Rigo, Mauricio Menegatti; Devaurs, Didier; Fonseca, Andre Faustino; Kalavadwala, Hussain; de Freitas, Martiela Vaz; Clementi, Cecilia; Zanatta, Geancarlo; Antunes, Dinler Amaral; Kavraki, Lydia E.
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Machine learned coarse-grained protein force-fields: Are we there yet?
err2023-04-01
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errDurumeric, Aleksander E. P.; Charron, Nicholas E.; Templeton, Clark; Musil, Felix; Bonneau, Klara; Pasos-Trejo, Aldo S.; Chen, Yaoyi; Kelkar, Atharva; Noe, Frank; Clementi, Cecilia
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Flow-Matching: Efficient Coarse-Graining of Molecular Dynamics without Forces
err2023-01-20
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errKoehler, Jonas; Chen, Yaoyi; Kraemer, Andreas; Clementi, Cecilia; Noe, Frank
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Slicing and Dicing: Optimal Coarse-Grained Representation to Preserve Molecular Kinetics
err2023-01-17
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errYang, Wangfei; Templeton, Clark; Rosenberger, David; Bittracher, Andreas; Nueske, Feliks; Noe, Frank; Clementi, Cecilia
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Deep learning to decompose macromolecules into independent Markovian domains
err2022-11-19
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errMardt, Andreas; Hempel, Tim; Clementi, Cecilia; Noe, Frank
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Quantum dynamics using path integral coarse-graining
err2022-11-09
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errMusil, Felix; Zaporozhets, Iryna; Noe, Frank; Clementi, Cecilia; Kapil, Venkat
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