Francisco J. Martin-Martinez

Francisco J. Martin-Martinez

Swansea University

H-index: 27

Europe-United Kingdom

About Francisco J. Martin-Martinez

Francisco J. Martin-Martinez, With an exceptional h-index of 27 and a recent h-index of 21 (since 2020), a distinguished researcher at Swansea University, specializes in the field of Computational Chemistry, Machine Learning, Biobased materials, Bioinspired materials, Biomass.

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

Operando FTIR-ATR with molecular dynamic simulations to understand the diffusion mechanism of waste tire-derived pyrolytic oil for asphalt self-healing

Data-driven representative models to accelerate scaled-up atomistic simulations of bitumen and biobased complex fluids

Biomass carbon mining to develop nature-inspired materials for a circular economy

Wearable Light Sensors Based on Unique Features of a Natural Biochrome

Biorefineries: Achievements and challenges for a bio-based economy

Biobased nanomaterials: New trends and applications

Biobased Spore Microcapsules for Asphalt Self-Healing

Socially‐Directed Development of Materials for Structural Color

Francisco J. Martin-Martinez Information

University

Position

___

Citations(all)

2394

Citations(since 2020)

1889

Cited By

1244

hIndex(all)

27

hIndex(since 2020)

21

i10Index(all)

39

i10Index(since 2020)

31

Email

University Profile Page

Swansea University

Google Scholar

View Google Scholar Profile

Francisco J. Martin-Martinez Skills & Research Interests

Computational Chemistry

Machine Learning

Biobased materials

Bioinspired materials

Biomass

Top articles of Francisco J. Martin-Martinez

Title

Journal

Author(s)

Publication Date

Operando FTIR-ATR with molecular dynamic simulations to understand the diffusion mechanism of waste tire-derived pyrolytic oil for asphalt self-healing

Fuel

Gonzalo R Quezada

Camilo Solar

Jorge H Saavedra

Karla Petit

Francisco J Martin-Martínez

...

2024/2/1

Data-driven representative models to accelerate scaled-up atomistic simulations of bitumen and biobased complex fluids

Digital Discovery

Daniel York

Isaac Vidal-Daza

Cristina Segura

José Norambuena

Francisco J. Martin-Martinez

2024

Biomass carbon mining to develop nature-inspired materials for a circular economy

Anna Bachs-Herrera

Daniel York

Tristan Stephens-Jones

Ian Mabbett

Jingjie Yeo

...

2023/4/21

Wearable Light Sensors Based on Unique Features of a Natural Biochrome

ACS sensors

Daniel J Wilson

Francisco J Martín-Martínez

Leila F Deravi

2022/2/9

Biorefineries: Achievements and challenges for a bio-based economy

Francisco García Calvo Flores

Francisco J Martín Martínez

2022/11/10

Biobased nanomaterials: New trends and applications

Francisco J Martin-Martinez

Jingjie Yeo

James W Ryan

Antoni Forner-Cuenca

Maria-Magdalena Titirici

2022/10/13

Biobased Spore Microcapsules for Asphalt Self-Healing

ACS Applied Materials & Interfaces

Erik Alpizar-Reyes

José L Concha

Francisco J Martín-Martínez

José Norambuena-Contreras

2022/6/30

Socially‐Directed Development of Materials for Structural Color

Bianca Datta

Ellan F Spero

Francisco J Martin‐Martinez

Christine Ortiz

2022/5

AI3SD video: internship talk–high-throughput generation of chemical isomers for the development of molecular models of biocrude oils

Francisco Martin-Martinez

Jeremy G Frey

Mahesan Niranjan

2022/3/3

Biobased additives for asphalt applications produced from the hydrothermal liquefaction of sewage sludge

Journal of Environmental Chemical Engineering

Diego López Barreiro

Francisco J Martin-Martinez

Shengfei Zhou

Ixone Sagastagoia

Francisco del Molino Pérez

...

2022/12/1

Role of Methylene Diphenyl Diisocyanate (MDI) Additives on SBS-Modified Asphalt with Improved Thermal Stability and Mechanical Performance

Energy & Fuels

Jocelyn H Ting

Eesha Khare

Anthony DeBellis

Brian Orr

Jerome S Jourdan

...

2021/10/25

AI3SD Intern Project: High-throughput generation of structural isomers for fast development of molecular datasets to train machine learning algorithms

Anna Catton

Francisco Martin-Martinez

2021/9/25

Designing and folding structural proteins from the primary amino acid sequence

2021/4/1

Multiscale modeling and applications of bioinspired materials with gyroid structures

Computational Materials, Chemistry, and Biochemistry: From Bold Initiatives to the Last Mile: In Honor of William A. Goddard’s Contributions to Science and Engineering

Zhao Qin

Gang Seob Jung

Francisco J Martin-Martinez

Markus J Buehler

2021

Synergistic Roll‐to‐Roll Transfer and Doping of CVD‐Graphene Using Parylene for Ambient‐Stable and Ultra‐Lightweight Photovoltaics

Advanced Functional Materials

Mohammad Mahdi Tavakoli

Giovanni Azzellino

Marek Hempel

Ang‐Yu Lu

Francisco J Martin‐Martinez

...

2020/8

Exploration of Biomass-Derived Activated Carbons for Use in Vanadium Redox Flow Batteries

ACS Sustainable Chemistry & Engineering

Charles Tai-Chieh Wan

Diego López Barreiro

Antoni Forner-Cuenca

Jack-William Barotta

Morgan J Hawker

...

2020/4/28

Multiscale Modeling of Structural Materials: Chemistry and Mechanical Performance

Handbook of Materials Modeling: Applications: Current and Emerging Materials

Francisco J Martin-Martinez

Markus J Buehler

2020

Multiscale Modeling of Lignocellulosic Biomass

Handbook of Materials Modeling: Applications: Current and Emerging Materials

Francisco J Martin-Martinez

Jose A Dobado

Angel Sanchez-Gonzalez

Diego López Barreiro

Markus J Buehler

2020

See List of Professors in Francisco J. Martin-Martinez University(Swansea University)

Co-Authors

H-index: 201
David L Kaplan

David L Kaplan

Tufts University

H-index: 142
Prof. Jing Kong

Prof. Jing Kong

Massachusetts Institute of Technology

H-index: 113
Markus J. Buehler

Markus J. Buehler

Massachusetts Institute of Technology

H-index: 95
Tomás Palacios

Tomás Palacios

Massachusetts Institute of Technology

H-index: 46
Zhao Qin

Zhao Qin

Syracuse University

H-index: 28
Shanshan Wang (王珊珊)

Shanshan Wang (王珊珊)

National University of Defense Technology

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