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Can you lighten a three-dimensional structure and also maintain its resistance?

The geometry of a part is traditionally developed to respond to resistance constraints and robustness to external forces, but also for positioning and movement, in particular to ensure optimalinteraction with other parts. In the industrial context, geometry is also driven by its means of manufacture.

The evolution of manufacturing options – such as 3D printing, also known as additive manufacturing – makes it possible to overcome design constraints linked to production. Freed from these production contingencies, it becomes possible to greatly lighten the geometry of the parts while maintaining their resistance and the initial functionalities. Thus, our generative design algorithms offer completely new three-dimensional optimization, organic and inspired by nature.

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How can you develop tailor-made materials?

Finding a material from a set of constraints used to mean testing several existing candidates and choosing the one that best responded.

With virtual molecular research, it is now possible to directly design a new material according to the identified needs and the desired atomic interactions. The result developed in silico can then be optimized to be created and actually produced to be tested and used.

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How can you optimize a battery’s efficiency?

With the advent of electric mobility, the battery has become a major element in the pursuit of a achieving an autonomous and robust alternative to oil. This battle for credible and reliable new sources of energy takes place at the molecular level where researchers can identify, test and produce the next-generation of high-performance batteries.

The chemical dimension determines the effectiveness of the components and formulations of a battery, the effective supply of useful energy and the safety of the device as a whole. Both the chemistry as well as all the electronic adjustment processes and the cathode – anode – electrolyte – envelope – connections interactions benefit from a virtual simulation that’s consistent with how the product would work in the real world in order to predict the concrete quality of the future battery.

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How can you understand and repair living organisms at the molecular level?

Since its origin, the study of living organisms at the molecular scale has been accompanied by the development of complex tools to identify and understand phenomena invisible to the naked eye.

Virtual laboratory technologies provide researchers with the ability to model, analyze and predict reactions on a scale that starts at infinitely small. All sequencing, gene expression, mass spectrometry and assay operations are now accessible within the same research environment.

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How can we predict which surgical approach will be the best?

To ensure an optimal result with the fewest side effects, surgical and drug treatments must be adapted to each patient. This is the revolution that is precision medicine, replacing a one-size-fits-all approach to healthcare.

Imagine a surgeon digitally testing interventions until he identifies the best solution for each patient. This approach already exists thanks to Dassault Systèmes virtualization solutions, making it possible to harmonize the practices with the real situations encountered by the practitioner.

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How can model-based systems engineering help assess complex interactions?

The world’s most complex problems can no longer be solved through an isolated product or service. Instead, the most successful solutions will be those that take into account a broader context that involves interconnected constraints and interdependent reactions – known as systems of systems.

Virtual universes offer the possibility of modeling and simulating these systems of systems, opening the possibilities to consider all cyber-physical implications of complex mechatronic or intelligent embedded systems. They give the possibility to digitally evaluate the impacts of the projected models to design and produce right first time.

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How can we maximize resource potential without degrading the environment?

The extraction of materials from soil remains essential to allow humans to communicate, to move around and more broadly to ensure a decent quality of life around the world. Understanding the structure and components of subsoil has become crucial to avoid damaging soil and groundwater during the extraction process.

While extraction remains mandatory, virtualization offers a more environmentally-friendly approach. Extraction sites are considered within geographical context. Operations are planned and optimized in real time to minimize their impact. Resources are clearly identified and estimated in order to avoid unnecessary or excessive interference with the soil.

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How can we develop therapies tailored to each patient?

Developing a medical treatment is costly and fraught with pitfalls. When taking into consideration the specificities of each type of patient to identify the optimal approach, the complexity can become unthinkable.

Using proven clinical data and embedded artificial intelligence technology, our unified virtual platform brings together real-time performance metrics, predictive models and foresight capabilities to develop a patient-centric approach and trials decisive clinics.

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How can you imagine and evaluate several alternatives without impacting the real world?

In order to better understand, model and explain physical phenomena, we have developed expertise that allows you to to virtually represent and model elements based on real-world principles of geometric, relational and behavioral conformity – but also to experiment, verify and predict reactions based on a wide range of scenarios. These assessments are based on scientific models that finely describe the world around us. Exploring alternatives during the creation of complex products, infrastructures or molecules (to give just a few examples) opens the possibility of optimizing design to improve operation, reduce weight, to increase resistance or to be more sustainable without impact on the physical world, evaluating each possibility and finding compromises between several experts while integrating users.

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