24 citations · 28 across the 10 of their papers we have counts for
10 papers
Temperature-Driven Sequential Modeling for the Prediction of Annual Power Conversion Efficiency Profiles of Organic Photovoltaic Materials: Douala Case Study
Steve Cabrel Teguia Kouam, Rockefeller Rockefeller, Raoult Dabou Teukam +4
Organic photovoltaic (OPV) materials are promising candidates for distributed solar energy in tropical regions, yet existing virtual screening tools report static power conversion…
Computational discovery of bifunctional organic semiconductors for energy and biosensing
Patrick Sorrel Mvoto Kongo, Steve Cabrel Teguia Kouam, Jean-Pierre Tchapet Njafa +1
The discovery of synthetically accessible organic semiconductors with exceptional performance remains a critical bottleneck in materials science. While these materials offer compel…
From orbital analysis to active learning: an integrated strategy for the accelerated design of TADF emitters
Jean-Pierre Tchapet Njafa, Steve Cabrel Teguia Kouam, Patrick Mvoto Kongo +1
Thermally Activated Delayed Fluorescence (TADF) emitters must satisfy two competing requirements: small singlet-triplet energy gaps for thermal upconversion and sufficient spin-orb…
Data-Driven Design Rules for TADF Emitters from a High-Throughput Screening of 747 Molecules
Jean-Pierre Tchapet Njafa, Elvira Vanelle Kameni Tcheuffa, Aissatou Maghame Foumkpou +1
TADF emitter performance depends on both thermodynamic and kinetic factors. We analyze 747 experimentally known TADF molecules computationally to extract quantitative design guidel…
Tunable direct bandgap and optical response in \ch{Mo_{1-x}W_xS2} monolayer alloys: A first-principles investigation
Kevin Ndang Amassa, Jean-Pierre Tchapet Njafa, Anne Justine Etindele +2
This study presents a comprehensive first-principles investigation of the structural, electronic and optical properties of monolayer \ch{Mo_{1-x}W_xS2} alloys, systematically explo…
Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study
Steve Cabrel Teguia Kouam, Jean-Pierre Tchapet Njafa, Raoult Dabou Teukam +3
This study benchmarks the GFN family of semiempirical methods (GFN1-xTB, GFN2-xTB, GFN0-xTB, and GFN-FF) against density functional theory (DFT) for the evaluation of optimized mol…
First principal investigation of Structural optical and thermoelectric properties of hybrid organic-inorganic perovskite compound
Hafida Ziouani, Sanaa Mazouar, Jean-Pierre Tchapet Njafa +3
The structural, thermoelectric, and optical properties of were studied using Density Functional Theory (DFT) within the ABINIT code. The GGA-PBE functi…
Advancing excited-state simulations for TADF emitters: An eXtended Tight-Binding framework for high-throughput screening and design
Jean-Pierre Tchapet Njafa, Aissatou Maghame, Elvira Vanelle Kameni Tcheuffa +1
We present a computationally efficient framework for predicting the excited-state properties of thermally activated delayed fluorescence (TADF) emitters, integrating extended tight…
Quantum associative memory with linear and non-linear algorithms for the diagnosis of some tropical diseases
Jean-Pierre Tchapet Njafa, Serge Guy Nana Engo
This paper presents the QAMDiagnos, a model of Quantum Associative Memory (QAM) that can be a helpful tool for medical staff without experience or laboratory facilities, for the di…
Quantum associative memory for the diagnosis of some tropical diseases
J. -P. Tchapet Njafa, S. G. Nana Engo, P. Woafo
In this paper we present a model of Quantum Associative Memory which can be a helpful tool for physicians without experience or laboratory facilities, for the diagnosis of four tro…