Computational Physics

Computational Physics Laboratory (COMP) aims to be the leading computational research laboratory capable of solving real world problems. COMP uses mathematical models and numerical algorithms to model and simulate complex physical processes such as those occur in condensed matter physics, social and biological systems.

RESEARCH THRUSTS

Computational Physics
Computational Materials Science
Computational Biology
Complex Networks
Physics Education Research
Structure and Dynamics

On-going Researches

Dr. Marvin Albao
Funding Agency: UP System Creative and Research Grant
Project Title: "Influence of STM Tip on Self-Assembly of One-Dimensional In Wires on Si(100): A Kinetic Monte Carlo Study."

Dr. RML Roxas-Villanueva
1. Versatile Instrument Systems for Science Education and Research, funded by DOST and UP EIDR with collaborators from UP Diliman
2. Bird call characterization using complex networks, in collaboration with Dr. Tapang
3. Group dynamics in a classroom

Prof. DB Putungan
Ongoing research to predict the properties of many-body systems through quantum mechanical simulation and electronic structure calculation techniques such as Density Functional Theory (DFT), and wavefunction-based methods such as Hartree-Fock and its variants. Other methods that treat atoms as classical particles interacting via a force-field (to overcome size limitations) and incorporate thermodynamic effects (to study finite temperature effects such as reaction rates) are also being used to study microkinetics and microstructures, such as molecular dynamics and kinetic Monte Carlo methods.

PUBLICATIONS

Marvin A Albao, Darwin B Putungan, Chia-Hsiu Hsu, Feng-Chuan Chuang. Enhanced nucleation of Al islands on H-dosed Si (100)-2× 1 surface: A combined density functional theory and kinetic Monte Carlo study, Surface Science 617, 73 (2013).

R.M. Roxas, M. K. Nambatac and G. Tapang, “Characterizing English Poetic Style Using Complex Networks,” International Journal of Modern Physics C 23 (2), February 2012.

Darwin B Putungan, Henry J Ramos, Feng-Chuan Chuang, Marvin A Albao. Modeling of Co-deposition of Indium and Tin on Silicon (100): A Kinetic Monte Carlo Study, Int. J. Mod. Phys. B 25, 1889 (2011).

Marvin A. Albao, Chia-Hsiu Hsu, Darwin B. Putungan and Feng-Chuan Chuang. Room-temperature deposition of group III metals on Si(100): Comparative Studies of Nucleation Behavior, Surface Science 604, 396 (2010).

R.M. Roxas and G. Tapang, “Prose and Poetry Disambiguation and Text Genre Boundary Detection Using Word Adjacency Networks Analysis,” International Journal of Modern Physics C 21(4), April 2010.

Darwin B. Putungan, Marvin A. Albao. The Role of Temperature on Morphological Properties of Gallium Nanowires: A Kinetic Monte Carlo Study, Science Diliman 22, 1 (2010).

Darwin B. Putungan, Marvin A. Albao. Probing the Impact of C-defect-Adatom Binding on Key Properties of Indium Nanowires on Si(100): Kinetic Monte Carlo Simulations, UPLB Journal (ISSN 01171461).

C. Monterola, R.M. Roxas, and S.L. Monterola, “Characterizing the effect of seating arrangement on classroom learning using neural networks,” Complexity 14 (4), March/April 2009.

D.B. Putungan, M.U. Herrera. Study of Band Gap Surface States of Silicon in MOSFET using Surface Photovoltage Spectroscopy (SPS), Journal of Physics: Conference Series 28, 70 (2006).

CLUSTER MEMBERS

Coordinator: Marvin A. Albao, Ph.D.

Faculty Members:
Ranzivelle Marianne L. Roxas-Villanueva, Ph.D.
Chrysline Margus N. Piñol, Ph.D.
Anthony Allan D. Villanueva, Ph.D.
Darwin B. Putungan, M.Sc.
Jason R. Albia, M. Sc.
Rona F. Barbarona, B. Sc.

Recent Graduates:
Stephen Azul
Gennevieve Macam
Marijoy Tiongson
Darwin Perez
Mansueto Macapanas Jr.
John Keith Magali

Student Members:
Anna Patricia Cristobal
Joenard Ramil
Rovi Angelo Villaos
Armando Nathaniel Pedragoza
Jomar Tercero
Emannuel Quiambao
Harvey Cruzado

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Last Updated on Friday, 10 April 2015 09:00

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