Riccardo Conte

About Riccardo Conte

Riccardo Conte, With an exceptional h-index of 26 and a recent h-index of 25 (since 2020), a distinguished researcher at Università degli Studi di Milano, specializes in the field of Semiclassical Dynamics, Theoretical Spectroscopy, Molecular Scattering.

His recent articles reflect a diverse array of research interests and contributions to the field:

Ab Initio Potential Energy Surface for NaCl–H2 with Correct Long-Range Behavior

No Headache for PIPs: A PIP Potential for Aspirin Outperforms Other Machine-Learned Potentials

A New A Priori Method to Avoid Calculation of Negligible Hamiltonian Matrix Elements in CI Calculation

No Headache for PIPs: A PIP Potential for Aspirin Runs Much Faster and with Similar Precision Than Other Machine-Learned Potentials

Assessing Permutationally Invariant Polynomial and Symmetric Gradient Domain Machine Learning Potential Energy Surfaces for H3O2–

Formic Acid–Ammonia Heterodimer: A New Δ-Machine Learning CCSD (T)-Level Potential Energy Surface Allows Investigation of the Double Proton Transfer

Assessing PIP and sGDML Potential Energy Surfaces for H3O2

Vibrational spectroscopy simulation of solvation effects on a G-quadruplex

Riccardo Conte Information

University

Position

Researcher

Citations(all)

1698

Citations(since 2020)

1271

Cited By

767

hIndex(all)

26

hIndex(since 2020)

25

i10Index(all)

48

i10Index(since 2020)

40

Email

University Profile Page

Google Scholar

Riccardo Conte Skills & Research Interests

Semiclassical Dynamics

Theoretical Spectroscopy

Molecular Scattering

Top articles of Riccardo Conte

Ab Initio Potential Energy Surface for NaCl–H2 with Correct Long-Range Behavior

The Journal of Physical Chemistry A

2024/1/25

No Headache for PIPs: A PIP Potential for Aspirin Outperforms Other Machine-Learned Potentials

arXiv preprint arXiv:2401.09316

2024/1/17

A New A Priori Method to Avoid Calculation of Negligible Hamiltonian Matrix Elements in CI Calculation

The Journal of Physical Chemistry A

2024/1/5

No Headache for PIPs: A PIP Potential for Aspirin Runs Much Faster and with Similar Precision Than Other Machine-Learned Potentials

Journal of Chemical Theory and Computation

2024/4/9

Assessing Permutationally Invariant Polynomial and Symmetric Gradient Domain Machine Learning Potential Energy Surfaces for H3O2–

The Journal of Physical Chemistry A

2024/4/4

Chen Qu
Chen Qu

H-Index: 10

Riccardo Conte
Riccardo Conte

H-Index: 15

Formic Acid–Ammonia Heterodimer: A New Δ-Machine Learning CCSD (T)-Level Potential Energy Surface Allows Investigation of the Double Proton Transfer

Journal of Chemical Theory and Computation

2024/2/21

Assessing PIP and sGDML Potential Energy Surfaces for H3O2

arXiv preprint arXiv:2402.11158

2024/2/17

Chen Qu
Chen Qu

H-Index: 10

Riccardo Conte
Riccardo Conte

H-Index: 15

Vibrational spectroscopy simulation of solvation effects on a G-quadruplex

Journal of Biomolecular Structure and Dynamics

2023/12/29

Riccardo Conte
Riccardo Conte

H-Index: 15

Michele Ceotto
Michele Ceotto

H-Index: 25

Machine learning software to learn negligible elements of the Hamiltonian matrix

Artificial Intelligence Chemistry

2023/12/1

Using AS SCIVR to understand Proline vibrational spectrum

2023/10/6

Investigating the Spectroscopy of the Gas Phase Guanine–Cytosine Pair: Keto versus Enol Configurations

The Journal of Physical Chemistry Letters

2023/9/28

Diffusion Monte Carlo and PIMD calculations of radial distribution functions using an updated CCSD(T) potential for CH5+

Molecular Physics

2023/9/28

Semiclassical vibrational spectroscopy from small molecules to solvated biomolecules

2023/9/21

Riccardo Conte
Riccardo Conte

H-Index: 15

A status report on “Gold Standard” machine-learned potentials for water

2023/9/1

Machine learning classification can significantly reduce the cost of calculating the Hamiltonian matrix in CI calculations

The Journal of Chemical Physics

2023/8/21

Communication J Chem Phys: Machine Learning Classification can Significantly Reduce the Cost of Calculating the Hamiltonian Matrix in CI Calculations

2023/7/31

Anharmonic Assignment of the Water Octamer Spectrum in the OH Stretch Region

The Journal of Physical Chemistry A

2023/7/21

Michele Ceotto
Michele Ceotto

H-Index: 25

Riccardo Conte
Riccardo Conte

H-Index: 15

From anharmonicity to Nuclear Quantum Effects in medium and large sized molecular systems

2023/6/12

Interfacing q-aqua with a polarizable force field: the best of both worlds

Journal of Chemical Theory and Computation

2023/5/30

Anharmonicity and quantum nuclear effects in theoretical vibrational spectroscopy: A molecular tale of two cities

Theoretical Chemistry Accounts

2023/5

See List of Professors in Riccardo Conte University(Università degli Studi di Milano)

Co-Authors

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