Minute-scale detection of SARS-CoV-2 using a low-cost biosensor composed of pencil graphite electrodes
Professor César de la Fuente, Presidential Assistant Professor Bioengineering, Chemical and Biomolecular Engineering, Microbiology and Psychiatry, has a new paper which discusses a diagnostic test that detects SARS-CoV-2 within 6.5 min and costs $1.50 per unit to produce.
On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks
Professor Paris Perdikaris, Assistant ProfessorMechanical Engineering and Applied Mechanics, has a new paper out in Computer Methods in…
Professor Andrea Liu, Hepburn Professor of Physics, has a new paper out in APL Materials.
Pathogenic Huntingtin Repeat Expansions in Patients with Frontotemporal Dementia and Amyotrophic Lateral Sclerosis
Jennifer E. Phillips-Cremins, Associate Professor of Genetics, has contributed to a new paper in Neuron. Abstract: We examined…
Pedro Ponte Castañeda, Professor and Raymond S. Markowitz Faculty Fellow in Mechanical Engineering and Applied Mechanics, has a new paper out in the International Journal of Solids and Structures.
Pratik Chaudhari, Assistant Professor, Electrical and Systems Engineering & Computer and Information Science, has a new paper out in preprint.
Chenfanfu Jiang, assistant professor of Computer and Information Science, has a new paper out in preprint. Abstract: This…
What is PICS?
The Penn Institute for Computational Science (PICS) is a cross-disciplinary institute for the advancement, integration, and support of Penn research via the tools and techniques of high-performance computing. Because scientific computing stretches across all areas of science, engineering, medicine and increasingly the humanities, PICS impacts the entire university. PICS promotes research through a regular seminar series, an annual conference, by hosting joint research projects and through researcher and student training.
What PICS Offers:
PICS offers a Masters (MSE) of Scientific Computing that may be pursued as a stand-alone masters degree or in conjunction with PhD programs within the disciplines. It provides multifaceted graduate training in the fundamentals and applications of scientific computing through a comprehensive curriculum including numerical methods, algorithm development, high-performance computing, data science, and applications within the science and engineering.
PICS also offers a Certificate in Advanced Scientific Computing This certificate is open to all MSE and PhD students currently enrolled at the University of Pennsylvania. The Certificate can be completed in 1 year and all courses can count towards other majors and degree requirements.
PICS enables computational science research by providing an ongoing series of short technical “how to” workshops or bootcamps for Penn researchers and graduate students.
In conjunction with AMCS, PICS hosts several colloquium throughout the academic year featuring renowned scholars and experts from all over the globe.
Who Does PICS Work With:
PICS’ primary partner is The Applied Mathematics and Computational Science (AMCS) Graduate Group.
PICS provides an administrative home for interdisciplinary computation-centric projects that span across departments and/or schools. The PICS staff works with faculty to aid the preparation of group proposals, organizing meetings, working with business offices, and coordination of reports in support of sponsored research.
PICS advises the administration of schools and the university on issues related to computation-centric research. In addition, PICS works with campus computing organizations to improve campus computational and network infrastructure through advising and external grants for infrastructure enhancement.