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Andrea Anelli
Observed names:
Andrea, Anelli,
Anelli, Andrea
Institution:
F. Hoffmann-La Roche AG
Observed institutions:
Bank of Italy,
F. Hoffmann-La Roche AG,
Scuola Internazionale Superiore di Studi Avanzati,
Institut des Matériaux,
École Polytechnique Fédérale de Lausanne
ORCID:
0000-0001-9230-1342
Observed ORCID:
0000-0001-9230-1342
OpenAlex ID:
A5017761609
Automatic selection of atomic fingerprints and reference configurations for machine-learning potentials
2018
·
Giulio Imbalzano
, Andrea Anelli
, et al.
·
The Journal of Chemical Physics
·
339
PDF
Learning the electronic density of states in condensed matter
2020
·
Chiheb Ben Mahmoud
, Andrea Anelli
, et al.
·
Physical review. B./Physical review. B
·
147
PDF
The seventh blind test of crystal structure prediction: structure generation methods
2024
·
Lily M. Hunnisett
, Jonas Nyman
, et al.
·
Acta Crystallographica Section B Structural Science Crystal Engineering and Materials
·
100
PDF
The seventh blind test of crystal structure prediction: structure ranking methods
2024
·
Lily M. Hunnisett
, Nicholas Francia
, et al.
·
Acta Crystallographica Section B Structural Science Crystal Engineering and Materials
·
85
PDF
Mapping uncharted territory in ice from zeolite networks to ice structures
2018
·
Edgar A. Engel
, Andrea Anelli
, et al.
·
Nature Communications
·
78
PDF
A Bayesian approach to NMR crystal structure determination
2019
·
Edgar A. Engel
, Andrea Anelli
, et al.
·
Physical Chemistry Chemical Physics
·
67
PDF
Generalized convex hull construction for materials discovery
2018
·
Andrea Anelli
, Edgar A. Engel
, et al.
·
Physical Review Materials
·
48
PDF
Exploring the robust extrapolation of high-dimensional machine learning potentials
2022
·
Claudio Zeni
, Andrea Anelli
, et al.
·
Physical review. B./Physical review. B
·
34
PDF
Comparative Analysis of Chemical Descriptors by Machine Learning Reveals Atomistic Insights into Solute–Lipid Interactions
2024
·
Justus Johann Lange
, Andrea Anelli
, et al.
·
Molecular Pharmaceutics
·
24
Geometric deep learning-guided Suzuki reaction conditions assessment for applications in medicinal chemistry
2024
·
Kenneth Atz
, David F. Nippa
, et al.
·
RSC Medicinal Chemistry
·
12
Divide-and-conquer potentials enable scalable and accurate predictions of forces and energies in atomistic systems
2023
·
Claudio Zeni
, Andrea Anelli
, et al.
·
Digital Discovery
·
7
PDF
Robust and efficient reranking in crystal structure prediction: a data driven method for real-life molecules
2024
·
Andrea Anelli
, Hanno Dietrich
, et al.
·
CrystEngComm
·
3
PDF
APPA : Agentic Preformulation Pathway Assistant
2025
·
Lange, Julius
, Komissarov, Leonid
, et al.
·
arXiv (Cornell University)
·
2
PDF
Dynamic language model representations for multi-objective reaction optimisation
2026
·
Sin, Joshua W.
, Segura, David Ming
, et al.
·
arXiv (Cornell University)
PDF
Machine Learning-Driven Prediction of Dose-Linear Pharmacokinetics: Utilizing Molecular Descriptors to Guide Formulation Strategy
2026
·
Elizabeth S. Levy
, Karen E. Samy
, et al.
·
ACS Omega
The seventh blind test of crystal structure prediction: structure ranking methods
2024
·
Lily M. Hunnisett
, Nicholas Francia
, et al.
·
Newcastle University ePrints (Newcastle Univesity)
The seventh blind test of crystal structure prediction: structure generation methods
2024
·
Lily M. Hunnisett
, Jonas Nyman
, et al.
·
Newcastle University ePrints (Newcastle Univesity)
Automatic solid form classification in pharmaceutical drug development
2024
·
Lange, Julius
, Komissarov, Leonid
, et al.
·
arXiv (Cornell University)
PDF
Characterising Structure and Stability of Materials using Machine Learning
2020
·
Anelli, Andrea
·
Infoscience (Ecole Polytechnique Fédérale de Lausanne)
A Generalized Convex Hull Construction for Computational Materials Discovery
2018
·
Edgar A. Engel
, Andrea Anelli
, et al.
·
Bulletin of the American Physical Society
From tetrahedral networks to (meta-) stable ice structures: a theoretical study
2017
·
Edgar A. Engel
, Chris J. Pickard
, et al.
·
Bulletin of the American Physical Society
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Works count:
33
Citation count:
947
H-index:
10
I10-index:
10
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