Multiphysics Product Qualification
Understand how a product behaves when fluid, thermal and structural effects interact
View scope →Technical capabilities
Research, engineering and technology development
Capabilities in computational engineering, scientific R&D, emerging technologies, invention development and digital architecture
Computational engineering
Engineering decisions supported by transparent computation
Work may combine fluid, thermal, structural, electromagnetic, circuit, battery and power-system models. Each engagement begins by fixing the technical question, available inputs, operating envelope and acceptance criteria.
Defined services
Computational work packages
Thermal & Flow Optimisation
Find where thermal or hydraulic performance is being lost, then optimise it
View scope →Computational Materials & Process R&D
Reduce the experimental search space before committing laboratory and pilot resources
View scope →Battery & BESS Optimisation
Size and operate storage around defined battery behaviour, project conditions and system objectives
View scope →Microgrid & Power-System Optimisation
Optimise distributed energy while respecting the electrical system within which it must operate
View scope →Electronics, RF & Electromagnetic Qualification
Find electromagnetic, signal-integrity, parasitic and thermal risks before hardware reaches production
View scope →Scientific R&D
Computation that sharpens the research question
Scientific models can reduce the search space, expose uncertainty and direct experimental effort toward the most informative next step. Computational predictions remain distinct from experimental validation.
Materials and interfaces
Screening, electronic and atomistic studies, phase stability, coatings, interfaces and property-led candidate selection.
Processes and reactions
Thermodynamic, kinetic, transport and process-system analysis used to narrow experimental and operating choices.
Energy research
Storage, conversion, thermal systems, electrochemistry, fuels and integrated energy questions.
Research-use life sciences
Computational work for research questions in biological and molecular systems, not medical diagnosis, treatment or clinical decision-making.
Scientific machine learning
Data-led models connected to physical assumptions, uncertainty and a defined scientific decision.
Cross-disciplinary studies
Problems that sit between established disciplines and require a deliberately integrated model.
Frontier research
Research in emerging technologies
Current areas include fusion energy, quantum science, AI research, propulsion systems, robotics and aerospace
Fusion energy
Plasma systems, magnets, materials, thermal loads, power systems and supporting controls.
Quantum science
Computation, sensing, communications, devices, cryogenic systems and control interfaces.
AI research
Scientific machine learning, intelligent control and data-led discovery tied to defined technical questions.
Propulsion systems
Thermal, electric and plasma propulsion, supporting power, materials, controls and performance models.
Robotics
Sensing, perception, autonomy, manipulation, mobility and operation in precise or difficult environments.
Aerospace & space
Aerodynamics, vehicle systems, spacecraft subsystems, sensing, power, communications and space-environment effects.
Inventions & licensing
Develop the technology and the evidence around it
Tri-Lotus works on its own R&D and with inventors, researchers, startup founders and technology users on intellectual property and new technologies. Terms and licensing structures are considered individually.
Identify
Define the technical proposition, intended use and evidence already available.
Develop
Advance the concept through analysis, modelling and structured technical work.
Qualify
Build evidence appropriate to the technology’s present stage and intended decision.
Protect
Organise technical material to support appropriate intellectual-property advice and filings.
License
Develop a licensing structure suited to the technology, counterparty and intended use.
Digital architecture & BIM
Digital models structured for project decisions
Work may include computational design studies, BIM model development, structured information, coordination support and environmental or engineering analysis where the necessary basis is available.
Computational design
Option studies and parameter-led design exploration for a defined brief.
BIM and information
Model development, structured information and agreed coordination outputs.
Analytical support
Relevant environmental or engineering analysis where inputs and boundaries can be established.
Statutory architectural services, professional seals, local approvals and construction supervision are not implied and remain with appropriately licensed professionals.
Start with the technical question
Share the objective, available information, constraints and the decision the work must support